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帥旗

发布人:系统管理员 发布日期:2019-01-10 来源:本站 浏览:次 字号:

帥旗 1986.06 博士 讲师 硕导   

E-mail: qishuai@cqu.edu.cn   

工作經曆

2017.09 - 至今,云盈国际,讲师

2011.09 - 2017.08,康涅狄格大学机械工程学院,研究助理

教育經曆

2011.09-2017.05,康涅狄格大學,機械工程,博士

2008.09-2011.06,重慶大學,車輛工程,碩士

2004.09-2008.06,重慶大學,車輛工程,本科

研究方向

1. 结构健康监测

2. 汽车发动机悬置系统,前端轮系优化设计

3. 压电传感器及电磁传感器等智能传感器建模及应用

主持或參與科研項目

1. 基于电磁阻抗技术的电动汽车减速器齿轮健康监测研究,中央高校基本科研业务费专项项目,2018-2019,主持

2. 嘉陵X09项目轮边分动箱CAE分析,横向项目,2018-2019,主持

3. 容大RDC27CVT零部件强度CAE分析,横向项目,2018-2019,参与

4. 用于结构故障诊断的高频感应系统,美国空军科研办公室资助项目,2011-2013,参与

5. 保障铁路安全的自动无线传感系统,美国国土安全部资助项目,2013-2014,参与

6. 航空结构中的先进故障诊断及识别方法,美国空军科研办公室资助项目,2014-2017,参与

學術論文

1. Shuai, Q. and Tang, J., “Direct compensation of lift-off oscillation effect in magnetic impedance–based damage detection.”Journal of Intelligent Material Systems and Structures, V26(17), pp.2351-2361,2015.

2. Shuai, Q. and Tang, J., “Enhanced modeling of magnetic impedance sensing system for damage detection.”Smart Materials and Structures, V23(2), 25008, 2013.

3. Shuai, Q., Zhou, K., Zhou, Shiyu and Tang, J., “Fault identification using piezoelectric impedance measurement and model-based intelligent inference with pre-screening.”Smart Materials and Structures,V26, 2017.

4. Liu, Y.,Shuai, Q., Zhou, S., and Tang, J. “Prognosis of structural damage growth via integration of physical model prediction and bayesian estimation.”IEEE Transactions on Reliability, PP(99), 1-12,2017.

5. Cao, P.,Shuai, Q., and Tang, J., “Structural damage identification using piezoelectric impedance measurement with sparse inverse analysis,” Smart Materials and Structures, V27(3), 035020, 2018.

6. Cao, P.,Shuai, Q., and Tang, J., “A multi-objective DIRECT algorithm toward structural damage identification with limited dynamic response information,” ASME Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, V1(2), 021004, 2018.

7. Shuai, Q., Liang, G. and Tang, J., “Piezoelectric admittance-based damage identification by Bayesian inference with pre-screening.” In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring,pp. 97990C-97990C. International Society for Optics and Photonics, 2016.

8. Shuai, Q., Zhou, K. and Tang, J., “Structural damage identification using piezoelectric impedance and Bayesian inference.”In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring,pp. 94351R-94351R. International Society for Optics and Photonics, 2015.

9. Shuai, Q. and Tang, J., “Lift-off effect compensation for magnetic impedance-based damage detection.” In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring,pp. 90610S-90610S. International Society for Optics and Photonics, 2014.

10. Shuai, Q. and Tang, J., “Improved modeling of magnetic impedance sensing system for damage detection.” In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring,pp. 86920M-86920M. International Society for Optics and Photonics, 2013.

11. Zhou, K.,Shuai, Q. and Tang, J., "Adaptive damage detection using tunable piezoelectric admittance sensor and intelligent inference." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, pp. V001T05A007-V001T05A007. American Society of Mechanical Engineers, 2014.

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